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. 2024 May 22;27(6):110074. doi: 10.1016/j.isci.2024.110074

Different trends of gastric cancer in China, Japan, Republic of Korea and United States of America

Fangrui Zhao 1,3, Dashuai Yang 2,3, Yanfang Lan 1, Xiangpan Li 1,4,
PMCID: PMC11214484  PMID: 38947500

Summary

Gastric cancer exerts a significant healthcare burden worldwide and is highly geographically heterogeneous. This study investigates the burden of gastric cancer in China from 1990 to 2019 and compares it with Japan, South Korea, and the United States. The results indicated a declining trend in ASIR and ASDR in four countries. However, the incidence and death rates in China remain disproportionately high. Significant gender disparities exist in the incidence and death rates, with males experiencing significantly higher rates than females. Incidence and death rates were found to increase with age in all studied countries. In China, a transient upward trend was observed in the period effect, whereas the cohort effect has been declining. In contrast, the remaining countries showed decreasing patterns in both period and cohort effects. The burden of disease remains high in China, therefore, broaden the scope of gastroscopy screening and concentrate on high-risk groups is vital.

Subject areas: Health sciences, Oncology, Public health

Graphical abstract

graphic file with name fx1.jpg

Highlights

  • Gastric cancer exhibits large geographic heterogeneity in its epidemiology

  • The absolute number of new cases and deaths from GC has increased

  • The ASIR and ASDR of GC have declined in recent years

  • The study assesses the burden of GC and makes comprasions between four countries


Health sciences; Oncology; Public health

Introduction

Gastric cancer is categorized into cardia and non-cardia tumors based on the proximity of the tumor to the gastroesophageal junction (cardia).1 Non-cardia tumors are often associated with Helicobacter pylori infection.2 It is estimated that most adults will contract a Helicobacter pylori infection at some point in their lives,3 contributing to non-cardia gastric cancer. Studies suggest that an improved socioeconomic status, better hygiene practices, and widespread antibiotic use may be linked to declining Helicobacter pylori infection rates.4 Additionally, the consumption of salt and salt-cured foods may enhance the risk of gastric cancer.5

Gastric cancer, one of the world’s most prevalent cancers, is diagnosed in over a million patients globally each year.6 While the absolute number of new cases and deaths from gastric cancer has increased in recent years,7 its Age-Standardized Rate (ASR), including incidence and deaths, has declined.8

Besides, based on data from GLOBCAN and GBD 2019, only a few countries showed an increased trend in the incidence of gastric cancer in adolescents and young adults, while the mortality decreased in nearly all countries.9,10 Korea has the highest proportion of young patients with gastric cancer, with 15% diagnosed before the age of 45.11 Other studies suggest that the incidence of gastric cancer is also increasing among the young population in the United States.12,13 Early-onset gastric cancer (diagnosed under 40 years of age) significantly differs from traditional late-onset gastric cancer (diagnosed over 40 years of age) in terms of genetics, proteomics, and clinical features,14,15,16 exhibiting more diffuse, metastatic, and invasive histologic features, molecular heterogeneity, and poorer prognosis.16

Despite the improvement in the survival rate of gastric cancer in the past decades, the prognosis remains poor, with a 5-year survival rate of approximately 20%.17 Nevertheless, Japan18 and Korea19 have relatively high survival rates of 65% and 71.5%, respectively, which may be due to early screening.20

The geographic distribution of gastric cancer is highly heterogeneous, and there can be a 5- to 10-fold difference in incidence between high- and low-risk countries.21 China, the country with the largest population base, has a significantly higher number of new cases than the rest of the world,22 accounting for nearly half of the global cases.7 Gastric cancer also imposes the most significant burden among digestive tract cancers in China. Furthermore, China is currently facing unprecedented population aging, which poses a considerable challenge to digestive tract cancer prevention.23

In light of the low survival and high burden of gastric cancer, this study assesses the burden of gastric cancer in China using data from the Global Burden of Disease (GBD) 2019, describing trends from 1990 to 2019, and comparing these trends with Japan, the United States, and South Korea. This information can help inform global and local interventions, potentially curbing the increasing number of incidence and death cases.

Results

Incidence and mortality of gastric cancer in China, Japan, United States of America, and Republic of Korea

In China, the incidence of gastric cancer surged from 31.73/10000 in 1990 to 61.28/10000 in 2019. Gastric cancer primarily occurred in men, with a male-to-female ratio of 1.89 in 1990, rising to 2.80 in 2019. However, the age-standardized incidence rate (ASIR) dropped from 37.6/10000 in 1990 to 30.6/10000 in 2019, with an EAPC of −0.41 (−0.75–0.08). The ASIRs in Japan and Korea were comparable, but the number of new cases varied significantly. In 1990, there were approximately 10.34/10000 new cases in Japan (male-to-female ratio: 1.82) and 1.97/10000in Korea (male-to-female ratio: 1.81); in 2019, these figures stood at 10.22/10000 (male-to-female ratio: 1.91) in Japan and 2.51/10000 in Korea (male-to-female ratio: 1.92). The lowest ASIR was recorded in the United States (1990: 8.3/10000; 2019: 5.9/10000), with 2.69/10000 new cases in 1990 (male-to-female ratio: 2.09) and 3.21/10000 new cases in 2019 (male-to-female ratio: 1.59). Although all countries showed a decreasing trend in new gastric cancer cases, male patients in China displayed a stabilizing trend (EAPC: 0.14 (−0.19–0.48)). Moreover, the male-to-female incidence ratio increased in China, Japan, and Korea, with the exception of the United States, where it declined. (Table 1) (Figures 1, 2, and 3).

Table 1.

Incidence, mortality, corresponding age-standardized rates, and rate changes for gastric cancer in China, Japan, United States of America, and Republic of Korea, 1990-2019

Country Sex Incidence
Deaths
Num_1990 (/10000) ASR_1990 (95%UI) Num_2019 (/10000) ASR_2019 (95%UI) EAPC_CI (95%UI) Num_1990 (/10000) ASR_1990 (95%UI) Num_2019 (/10000) ASR_2019 (95%UI) EAPC_CI (95%UI)
China Both 31.73 37.6 (33.1–42.3) 61.28 30.6 (25.8–36.1) −0.41 (−0.75–0.08) 30.55 37.7 (33.2–42.4) 42.15 21.7 (18.3–25.3) −1.68 (−2.07–1.28)
Male 20.75 51.1 (43–59.9) 45.13 47.3 (38–57.9) 0.14 (−0.19–0.48) 19.71 51.4 (43–59.9) 29.85 33.1 (26.7–39.9) −1.17 (−1.56–0.79)
Female 10.98 25.6 (21.5–29.6) 16.15 15.8 (12.8–19.4) −1.6 (−1.93–1.26) 10.84 26.2 (21.9–30.4) 12.3 12.2 (9.9–14.9) −2.59 (−2.99–2.19)
Japan Both 10.34 61.2 (58.8–62.7) 10.22 28.3 (23.7–33.3) −2.73 (−2.79–2.68) 5.33 32.2 (30.5–33) 5.72 14.1 (12.5–15) −2.94 (−2.98–2.89)
Male 6.67 90.6 (87.4–93) 6.72 42.2 (34.1–51.6) −2.69 (−2.75–2.63) 3.34 47.8 (45.8–48.8) 3.61 21.3 (19.3–22.6) −2.85 (−2.91–2.8)
Female 3.67 39.1 (37–40.5) 3.51 16.9 (13.3–20.5) −3.02 (−3.1–2.94) 1.99 21.2 (19.7–21.9) 2.11 8.4 (7–9.2) −3.33 (−3.41–3.24)
Republic of Korea Both 1.97 61.6 (58.7–64.5) 2.51 28.7 (23.7–34.2) −3.24 (−3.51–2.97) 1.59 52.3 (50–55) 1.22 14.1 (12.6–15.6) −5.26 (−5.49–5.04)
Male 1.27 93.4 (87.6–99.7) 1.65 42.1 (34.6–50.5) −3.32 (−3.63–3) 1.01 80.1 (75.3–85.9) 0.78 21.2 (18.9–23.8) −5.27 (−5.5–5.04)
Female 0.70 39.3 (37.2–41.4) 0.86 18.1 (14.9–21.6) −3.35 (−3.59–3.11) 0.58 33.9 (32–35.8) 0.44 8.9 (7.7–10.2) −5.43 (−5.71–5.16)
United States of America Both 2.69 8.3 (8–8.5) 3.21 5.9 (5.1–6.9) −1.4 (−1.49–1.32) 1.89 5.8 (5.5–6) 1.92 3.4 (3.2–3.5) −2.02 (−2.13–1.9)
Male 1.60 11.9 (11.5–12.2) 1.97 8 (6.5–9.7) −1.63 (−1.73–1.54) 1.09 8.3 (7.9–8.5) 1.13 4.5 (4.3–4.7) −2.27 (−2.41–2.13)
Female 1.10 5.7 (5.3–5.9) 1.24 4.1 (3.4–5) −1.28 (−1.36–1.2) 0.80 4.1 (3.8–4.2) 0.78 2.5 (2.3–2.6) −1.88 (−1.97–1.79)

Figure 1.

Figure 1

Age-standardized disease burden of gastric cancer among China, Japan, Republic of Korea, and United States of America from 1990 to 2019

(A) ASIR of gastric cancer among four countries from 1990 to 2019.

(B) ASDR of gastric cancer among four countries from 1990-201. ASIR, age-standardized incidence rate; ASDR, age-standardized death rate.

Figure 2.

Figure 2

Trends in disease burden of gastric cancer across different countries in male patients from 1990 to 2019

(A) Trends in the incidence rate of gastric cancer in male patients from 1990 to 2019.

(B) Trends in the mortality rate of gastric cancer in male patients from 1990 to 2019.

Figure 3.

Figure 3

Trends in the disease burden of gastric cancer across different countries in female patients from 1990 to 2019

(A) Trends in the incidence rate of gastric cancer in female patients from 1990 to 2019.

(B) Trends in the mortality rate of gastric cancer in female patients from 1990 to 2019.

The number of deaths from gastric cancer in China rose from 30.55/10000 (male-to-female ratio: 1.82) in 1990 to 42.15/10000 (male-to-female ratio: 2.43) in 2019. Meanwhile, the age-standardized death rate (ASDR) decreased from 37.7/10000 in 1990 to 21.7/10000 in 2019, with an EPAC of −1.68 (-2.07–1.28). The number of deaths in Japan, Korea, and the United States remained relatively stable, with their ASDRs demonstrating a decreasing trend. Specifically, Japan’s ASDR decreased from 32.2/10000 in 1990 to 14.1/10000 in 2019 (EPAC: −2.94 (−2.98–2.89)), while Korea’s ASDR plummeted from 52.3/10000 in 1990 to 14.1/10000 in 2019 (EPAC: −5.26 (−5.49–5.04)). The ASDRs of Japan and Korea in 2019 were comparable. The US recorded the lowest ASDR (5.8/10000 in 1990 and 3.4/10000 in 2019), with an EPAC of −2.02 (−2.13–1.9). A decreasing trend was evident in gastric cancer deaths, with the most rapid decline seen in Korea. Furthermore, the proportion of males increased in all countries (Japan: 1.68 to 1.71; Korea: 1.74 to1.77; USA: 1.36 to 1.45). (Table 1) (Figures 1, 2, and 3).

Joinpoint Trends of Gastric Cancer ASRs by Sex in China, Japan, United States of America, and Republic of Korea

During the same period, significant heterogeneity in temporal trends of gastric cancer incidence emerged among China, Japan, Korea, and the United States. In China, the trends of ASIR and ASDR paralleled each other, initially sharply decreasing from 1990 to 1998, with an APC of −1.57(-1.73–1.45) (p < 0.001) and −2.02 (−2.32–1.72) (p < 0.001), respectively. Then, they showed an upward trend from 1998 to 2004, with APC values of 4.02 (3.33–4.72) (p < 0.001) and 3.01 (2.48–3.53) (p < 0.001). (Table 2) Subsequently, a decrease has been observed since 2004. Similar trend changes were evident in both male and female patients. Conversely, the ASIR and ASDR in Japan and the United States have consistently decreased regardless of gender. In Korea, the ASIR began to gradually decline from 1995 onwards. And the ASDR has consistently been showing a decreasing trend. (Table 2; Tables S1 and S2) (Figures S1 and S2).

Table 2.

Joinpoint analysis for ASIR and ASMR of gastric cancer by age in China, Japan, United States of America and Republic of Korea between 1990 and 2019, without distinguishing by gender

Measure Country Trend 1
Trend 2
Trend 3
Trend 4
AAPC (95%UL), P
Year APC (95%UL), P Year APC (95%UL), P Year APC (95%UL), P Year APC (95%UL), P
ASIR China 1990–1998 −1.573 (−1.963–1.181), <0.001 1998–2004 4.021 (3.331–4.716),<0.001 2004–2019 −2.297 (−2.458–2.136),<0.001 −0.820 (−1.004–0.637),<0.001
Japan 1990–2019 −2.762 (−2.827–2.697), <0.001 −2.762 (−2.827–2.697),<0.001
Republic of Korea 1990–1995 1.934 (0.941–2.937), 0.001 1995–2001 −4.491 (−5.494–3.476),<0.001 2001–2009 −2.441 (−3.179–1.697),<0.001 2009–2019 −5.233 (−5.89–4.57),<0.001 −3.106 (−3.488–2.723),<0.001
United States of America 1990–2012 −2.306 (−2.353–2.259),<0.001 2012–2002 −0.446 (−0.758–0.134), 0.007 2002–2007 −2.396 (−3.127–1.66),<0.001 2007–2019 −0.999 (−1.194–0.803),<0.001 −1.259 (−1.444–1.074),<0.001
ASMR China 1990–1998 −2.022 (−2.32–1.724),<0.001 1998–2004 3.005 (2.484–3.528),<0.001 2004–2016 −4.092 (−4.258–3.926),<0.001 2016–2019 −2.277 (−4.159–0.359), 0.023 −1.900 (−2.131–1.668),<0.001
Japan 1990–2019 −2.953 (-3--2.906),
<0.001
−2.953 (-3--2.906),
<0.001
Republic of Korea 1990–1996 −1.428 (−1.828–1.026),<0.001 1996–2002 −7.013 (−7.53–6.493),<0.001 2002–2016 −5.559 (−5.728–5.391),<0.001 2016–2019 −0.19 (−2.765–2.453), 0.88 −4.480 (−4.763–4.195),<0.001
United States of America 1990–2012 −2.306 (−2.353–2.259),<0.001 2012–2019 −0.446 (−0.758–0.134), 0.007 −1.860 (−1.939–1.782),<0.001

Age-Period-Cohort Analyses for Gastric Cancer

Net Drift and Local Drift in Different Age Groups

Table 3 delineates the local and net drift in incidence rates for the four countries. The net drifts significantly differed among the countries. China showed a minimal decline between 1990 and 2019 (−0.4396 (−0.559 to −0.32)), whereas the largest decline was observed in Japan (−4.6574 (−4.7772 to −4.5375)). The declines in Korea were similar to those in the United States (−2.8681 (−3.0615 to −2.6743); −2.2945 (−2.3687 to −2.2201)). The downward trend of localized drift in gastric cancer incidence in China was weak, with the most substantial decline in the 45–49 age group (−0.975 (−1.1917 to −0.7578)), followed by the 50–54 age group, which was similar to Japan. Japan demonstrated a decreasing trend in all age groups, with the absolute value of localized drift greater than 1, except for the 90–94 age group. In contrast, Korea showed the most pronounced decrease in the younger age groups, particularly the 25–29 years old (−4.8144 (−6.4721 to −3.1272)) and 30–34 years old (−4.5296 (−5.4272 to −3.6235)), with a slight upward trend in the 85–89 age group (0.962 (0.1684–1.7619)). In the United States, there was a trend toward younger incidence rates, especially among the 25–29 years old, with a local drift of 1.1289 (0.4877–1.7742). However, there is a significant decrease in localized drift (absolute value > 3) in the older age group over 70 years, most noticeable in the 80–84 age group (−4.5202 (−4.6146 to −4.4257)). (Table 3).

Table 3.

Incidence and mortality of the local drifts and net drifts for China, Japan, Republic of Korea, and United States of America. (%)

Age Incidence
China Japan Republic of Korea United States of America
Local Drifts (95%CI)

25–29 0.643 (−0.187 to 1.481) −3.511 (−4.879 to −2.124) −4.814 (−6.472 to −3.127) 1.129 (0.488–1.774)
30–34 0.159 (−0.352 to 0.672) −3.812 (−4.570 to −3.049) −4.530 (−5.427 to −3.624) −0.129 (−0.510 to 0.258)
35–39 −0.465 (−0.846 to −0.083) −4.358 (−4.845 to −3.869) −3.448 (−4.040 to −2.852) −0.927 (−1.206 to −0.647)
40–44 −0.869 (−1.148 to −0.590) −6.264 (−6.592 to −5.934) −3.288 (−3.736 to −2.839) −1.997 (−2.209 to −1.784)
45–49 −0.975 (−1.192 to −0.758) −7.639 (−7.888 to −7.389) −3.571 (−3.933 to −3.208) −2.364 (−2.531 to −2.196)
50–54 −0.907 (−1.089 to −0.725) −7.692 (−7.891 to −7.494) −4.111 (−4.413 to −3.808) −1.783 (−1.920 to −1.646)
55–59 −0.908 (−1.070 to −0.747) −6.454 (−6.611 to −6.296) −4.000 (−4.264 to −3.735) −0.993 (−1.110 to −0.877)
60–64 −0.664 (−0.807 to −0.521) −5.376 (−5.501 to −5.251) −4.338 (−4.588 to −4.087) −1.774 (−1.876 to −1.6714)
65–69 −0.514 (−0.653 to −0.374) −3.827 (−3.934 to −3.720) −3.541 (−3.789 to −3.292) −2.617 (−2.708 to −2.526)
70–74 −0.340 (−0.492 to −0.188) −2.954 (−3.059 to −2.848) −2.090 (−2.348 to −1.832) −3.464 (−3.550 to −3.379)
75–79 −0.083 (−0.272 to 0.107) −2.461 (−2.570 to −2.353) −0.623 (−0.930 to −0.316) −4.225 (−4.31 to −4.140)
80–84 0.255 (−0.020 to 0.530) −2.130 (−2.254 to −2.006) 0.241 (−0.203 to 0.687) −4.520 (−4.615 to −4.426)
85–89 0.340 (−0.139 to 0.821) −1.324 (−1.504 to −1.143) 0.962 (0.168–1.762) −4.022 (−4.151 to −3.893)
90–94 0.200 (−1.017 to 1.432) −0.154 (−0.534 to 0.228) 1.041 (−0.652 to 2.763) −3.641 (−3.863 to −3.418)

Net Drift (95%CI)

−0.440 (−0.559 to −0.320) p < 0.001 −4.657 (−4.778 to −4.538) p < 0.001 −2.868 (−3.062 to −2.674) p < 0.001 −2.295 (−2.369 to −2.220) p < 0.001
Age Deaths
China Japan Republic of Korea United States of America
Local Drifts (95%CI)

25–29 −2.102 (−3.167 to −1.026) −4.90 (−6.865 to −2.897) −7.764 (−9.921 to −5.556) 0.421 (−0.594 to 1.446)
30–34 −2.463 (−3.084 to −1.839) −4.907 (−5.967 to −3.836) −7.386 (−8.510 to −6.249) −0.817 (−1.406 to −0.224)
35–39 −2.810 (−3.248 to −2.370) −5.220 (−5.895 to −4.541) −6.300 (−7.010 to −5.585) −1.606 (−2.017 to −1.193)
40–44 −2.954 (−3.258 to −2.6495) −6.893 (−7.342 to −6.441) −6.048 (−6.562 to −5.5312) −2.670 (−2.977 to −2.362)
45–49 −2.801 (−3.027 to −2.5745) −8.085 (−8.415 to −7.754) −6.198 (−6.594 to −5.801) −3.030 (−3.266 to −2.794)
50–54 −2.586 (−2.770 to −2.402) −8.023 (−8.279 to −7.767) −6.619 (−6.938 to −6.298) −2.452 (−2.640 to −2.264)
55–59 −2.470 (−2.630 to −2.309) −6.694 (−6.892 to −6.496) −6.396 (−6.667 to −6.124) −1.672 (−1.829 to −1.515)
60–64 −2.127 (−2.264 to −1.989) −5.566 (−5.718 to −5.413) −6.642 (−6.891 to −6.392) −2.450 (−2.586 to −2.315)
65–69 −1.890 (−2.019 to −1.760) −4.033 (−4.157 to −3.908) −5.807 (−6.044 to −5.569) −3.283 (−3.402 to −3.163)
70–74 −1.615 (−1.750 to −1.481) −3.235 (−3.352 to −3.118) −4.360 (−4.592 to −4.127) −4.098 (−4.208 to −3.988)
75–79 −1.222 (−1.379 to −1.064) −2.894 (−3.007 to −2.780) −2.887 (−3.141 to −2.632) −4.808 (−4.913 to −4.702)
80–84 −0.774 (−0.991 to −0.5558) −2.791 (−2.911 to −2.672) −1.982 (−2.319 to −1.644) −5.064 (−5.175to −4.953)
85–89 −0.503(-0.8644 to −0.1403) −2.070 (−2.229 to −1.911) −0.988 (−1.538 to −0.436) −4.502 (−4.642 to −4.363)
90–94 −0.522 (−1.389 to 0.354) −1.000 (−1.298 to −0.700) −0.658 (−1.755 to 0.450) −4.062 (−4.288 to −3.835)

Net Drift (95%CI)

−2.035 (−2.153 to −1.916) p < 0.001 −5.150 (−5.311 to −4.988) p < 0.001 −5.295 (−5.496 to −5.094) p < 0.001 −2.933 (−3.037 to −2.827) p < 0.001

In Japan and Korea, the net drift of mortality rates declined significantly, −5.150 (−5.311 to −4.988) and −5.295 (−5.496 to −5.094), respectively. In China and the United States, the net drift of mortality was −2.035 (−2.153 to −1.916) and −2.933 (−3.037 to −2.827), respectively. The localized drift is less than 0 for all age groups in all countries except for the United States. In China, the absolute value of localized drift less than 1 was concentrated in the age group of 80 years and above, while in Japan, it was dominated by the 90–94 age group, and in South Korea, it was dominated by the 85 years and older group. On the other hand, in the United States, it was dominated by the younger group, specifically the 25–34 years age group. (Table 3).

Age-Period-Cohort Effects on Gastric Cancer

In general, the incidence rate of stomach cancer escalates with age across all countries under review. This increase is most pronounced in China, with a surge from 2.766 to 292.871 per 100,000, closely followed by Japan, which reports an increase from 1.299 to 181.886 per 100,000 annually. Korea has also exhibited an increase, albeit at a comparatively steady pace. Predominantly, the high prevalence age in China falls between 85 and 89 years, whereas in the other three countries, it’s primarily between 90 and 94 years.

Excluding China, the period effects in the other countries have, on the whole, demonstrated a decrease over time. This decrease is most noteworthy in Japan, trailed by Korea and the United States. Conversely, China displayed a downward trend until 1999, had a brief surge during the 2005–2009 period, and has since been demonstrating a slow but steady decline. The cohort effect was found to positively influence the incidence of gastric cancer, the most substantial decline being observed in the United States (from 4.764 in 1900 to 0.713 in 1990), followed by Japan (from 1.911 in 1900 to 0.072 in 1990), and China, exhibiting a moderation trend (from 1.048 in 1900 to 0.958 in 1990) (Refer to Table 4; Figure 4).

Table 4.

Relative risks of incidence and deaths due to age, period, and cohort effects in China, Japan, Republic of Korea, and United States of America

Incidence
China
Japan
Republic of Korea
United States of America
RR 95%CI RR 95%CI RR 95%CI RR 95%CI
Age

25–29 2.766 2.436 to 3.141 1.299 1.109 to 1.521 0.554 0.463 to 0.662 0.142 0.128 to 0.156
30–34 6.620 6.068 to 7.221 2.558 2.304 to 2.839 1.020 0.899 to 1.158 0.324 0.304 to 0.347
35–39 11.525 10.773 to 12.329 4.399 4.089 to 4.732 1.427 1.286 to 1.583 0.547 0.520 to 0.576
40–44 21.559 20.440 to 22.739 6.554 6.213 to 6.913 2.134 1.957 to 2.328 1.008 0.968 to 1.049
45–49 33.844 32.396 to 35.356 8.365 8.029 to 8.715 2.661 2.475 to 2.860 1.569 1.519 to 1.621
50–54 55.536 53.543 to 57.604 11.542 11.162 to 11.936 3.474 3.263 to 3.699 2.460 2.394 to 2.528
55–59 86.633 83.930 to 89.423 16.125 15.672 to 16.591 4.272 4.034 to 4.525 3.634 3.548 to 3.723
60–64 123.972 120.445 to 127.603 21.404 20.860 to 21.963 5.010 4.743 to 5.292 5.091 4.981 to 5.204
65–69 166.824 162.182 to 171.598 27.346 26.681 to 28.028 5.927 5.611 to 6.262 7.024 6.878 to 7.172
70–74 227.517 221.047 to 234.177 34.288 33.446 to 35.152 7.110 6.721 to 7.522 9.862 9.660 to 10.069
75–79 255.794 246.903 to 265.004 44.534 43.299 to 45.805 8.394 7.871 to 8.953 13.859 13.537 to 14.189
80–84 276.941 265.709 to 288.647 65.804 63.891 to 67.773 10.506 9.780 to 11.287 20.071 19.583 to 20.571
85–89 292.871 276.679 to 310.010 108.275 104.792 to 111.875 10.925 9.933 to 12.017 25.900 25.193 to 26.627
90–94 234.572 209.087 to 263.163 181.886 174.486 to 189.599 13.396 11.465 to 15.652 42.878 41.430 to 44.377

Period

1990–1994 0.9584 0.929 to 0.988 1.670 1.632 to 1.710 1.346 1.282 to 1.414 1.202 1.180 to 1.224
1995–1999 0.8797 0.855 to 0.906 1.296 1.268 to 1.324 1.231 1.174 to 1.290 1.118 1.099 to 1.137
2000–2004 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000
2005–2009 1.0054 0.980 to 1.032 0.808 0.791 to 0.825 0.923 0.881 to 0.967 0.865 0.851 to 0.880
2010–2014 0.9009 0.877 to 0.925 0.647 0.632 to 0.662 0.774 0.738 to 0.812 0.770 0.757 to 0.783
2015–2019 0.8089 0.787 to 0.832 0.498 0.486 to 0.511 0.653 0.621 to 0.686 0.687 0.675 to 0.699

Cohort

1900–1904 1.048 0.693 to 1.584 1.911 1.680 to 2.174 1.536 0.873 to 2.701 4.764 4.413 to 5.142
1905–1909 1.016 0.868 to 1.188 2.364 2.224 to 2.514 1.367 1.053 to 1.776 3.839 3.671 to 4.015
1910–1914 1.003 0.918 to 1.096 2.627 2.518 to 2.741 1.484 1.282 to 1.718 3.351 3.243 to 3.463
1915–1919 1.017 0.957 to 1.080 2.384 2.301 to 2.471 1.682 1.522 to 1.860 2.756 2.680 to 2.835
1920–1924 1.060 1.013 to 1.109 2.067 2.003 to 2.134 1.862 1.722 to 2.013 2.315 2.257 to 2.375
1925–1929 1.092 1.051 to 1.135 2.001 1.945 to 2.059 1.788 1.671 to 1.914 1.832 1.789 to 1.877
1930–1934 1.078 1.042 to 1.115 1.797 1.749 to 1.846 1.675 1.574 to 1.782 1.358 1.326 to 1.390
1935–1939 1.052 1.019 to 1.087 1.475 1.437 to 1.514 1.632 1.540 to 1.729 1.064 1.040 to 1.089
1940–1944 0.995 0.964 to 1.027 1.247 1.214 to 1.281 1.482 1.401 to 1.569 1.030 1.006 to 1.054
1945–1949 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000
1950–1954 0.965 0.934 to 0.996 0.751 0.729 to 0.773 0.703 0.660 to 0.750 0.876 0.854 to 0.898
1955–1959 0.898 0.867 to 0.931 0.407 0.392 to 0.423 0.636 0.594 to 0.681 0.821 0.798 to 0.843
1960–1964 0.819 0.783 to 0.856 0.296 0.282 to 0.311 0.697 0.647 to 0.751 0.883 0.855 to 0.911
1965–1969 0.827 0.787 to 0.869 0.178 0.167 to 0.189 0.432 0.395 to 0.472 0.599 0.576 to 0.623
1970–1974 0.793 0.745 to 0.844 0.157 0.145 to 0.170 0.368 0.331 to 0.410 0.536 0.510 to 0.563
1975–1979 0.7644 0.703 to 0.831 0.153 0.138 to 0.170 0.333 0.290 to 0.383 0.603 0.565 to 0.644
1980–1984 0.802 0.713 to 0.902 0.130 0.111 to 0.153 0.299 0.247 to 0.363 0.761 0.699 to 0.829
1985–1989 0.888 0.76 to 1.0377 0.092 0.072 to 0.118 0.175 0.129 to 0.237 0.714 0.635 to 0.803
1990–1994 0.958 0.736 to 1.247 0.072 0.046 to 0.115 0.123 0.069 to 0.219 0.713 0.583 to 0.873
Deaths
China
Japan
Republic of Korea
United States of America
Rate 95%CI RR 95%CI RR 95%CI RR 95%CI
Age

25–29 2.957 2.569 to 3.402 0.564 0.460 to 0.693 0.555 0.458 to 0.671 0.071 0.061 to 0.083
30–34 6.719 6.125 to 7.369 1.034 0.902 to 1.185 0.885 0.773 to 1.012 0.166 0.151 to 0.184
35–39 11.505 10.736 to 12.330 1.646 1.495 to 1.812 1.144 1.027 to 1.275 0.310 0.288 to 0.333
40–44 19.788 18.751 to 20.882 2.337 2.179 to 2.507 1.434 1.308 to 1.571 0.541 0.512 to 0.573
45–49 29.138 27.892 to 30.439 3.255 3.090 to 3.428 1.703 1.583 to 1.832 0.868 0.830 to 0.907
50–54 45.967 44.335 to 47.658 4.590 4.403 to 4.785 2.082 1.955 to 2.217 1.388 1.337 to 1.440
55–59 67.490 65.416 to 69.630 6.534 6.310 to 6.766 2.330 2.198 to 2.469 2.013 1.948 to 2.079
60–64 93.609 90.987 to 96.308 8.998 8.723 to 9.281 2.534 2.395 to 2.680 2.781 2.699 to 2.864
65–69 124.186 120.784 to 127.684 12.189 11.838 to 12.550 2.794 2.641 to 2.956 3.757 3.652 to 3.865
70–74 170.012 165.288 to 174.870 16.546 16.074 to 17.031 3.196 3.019 to 3.383 5.270 5.126 to 5.419
75–79 201.088 194.526 to 207.870 23.638 22.890 to 24.410 3.777 3.546 to 4.024 7.792 7.554 to 8.038
80–84 222.890 214.652 to 231.443 36.863 35.656 to 38.111 4.480 4.181 to 4.801 11.236 10.881 to 11.604
85–89 261.174 248.941 to 274.007 69.698 67.277 to 72.206 5.462 5.027 to 5.936 18.318 17.700 to 18.959
90–94 226.372 207.269 to 247.236 147.603 141.734 to 153.715 6.957 6.149 to 7.871 33.121 31.817 to 34.478

Period

1990–1994 1.076 1.046 to 1.107 1.744 1.696 to 1.793 1.834 1.752 to 1.920 1.346 1.315 to 1.379
1995–1999 0.937 0.913 to 0.962 1.321 1.290 to 1.353 1.449 1.387 to 1.514 1.167 1.142 to 1.193
2000–2004 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000
2005–2009 0.914 0.892 to 0.936 0.782 0.764 to 0.801 0.771 0.736 to 0.807 0.846 0.828 to 0.864
2010–2014 0.739 0.721 to 0.759 0.609 0.592 to 0.625 0.593 0.565 to 0.623 0.729 0.713 to 0.746
2015–2019 0.615 0.598 to 0.632 0.458 0.444 to 0.473 0.492 0.467 to 0.518 0.651 0.636 to 0.667

Cohort

1900–1904 1.657 1.233 to 2.226 2.476 2.235 to 2.744 3.791 2.621 to 5.483 6.088 5.624 to 6.589
1905–1909 1.545 1.371 to 1.740 2.884 2.725 to 3.052 3.115 2.590 to 3.747 4.822 4.587 to 5.070
1910–1914 1.508 1.405 to 1.620 3.164 3.031 to 3.302 3.270 2.915 to 3.667 4.156 3.993 to 4.325
1915–1919 1.466 1.393 to 1.542 2.699 2.598 to 2.803 3.349 3.074to 3.650 3.323 3.206 to 3.443
1920–1924 1.464 1.406 to 1.525 2.235 2.158 to 2.315 3.338 3.108 to 3.585 2.726 2.638 to 2.817
1925–1929 1.433 1.384 to 1.484 2.096 2.028 to 2.165 2.872 2.693 to 3.064 2.100 2.035 to 2.167
1930–1934 1.335 1.293 to 1.379 1.844 1.787 to 1.902 2.380 2.240 to 2.529 1.507 1.461 to 1.554
1935–1939 1.221 1.184 to 1.258 1.495 1.450 to 1.542 2.052 1.937 to 2.174 1.142 1.107 to 1.177
1940–1944 1.079 1.046 to 1.112 1.261 1.222 to 1.302 1.670 1.577 to 1.769 1.067 1.034 to 1.101
1945–1949 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000 1.000 1.000 to 1.000
1950–1954 0.896 0.868 to 0.926 0.741 0.715 to 0.769 0.621 0.580 to 0.664 0.846 0.818 to 0.876
1955–1959 0.769 0.742 to 0.798 0.397 0.378 to 0.416 0.488 0.454 to 0.525 0.767 0.738 to 0.796
1960–1964 0.637 0.609 to 0.667 0.281 0.264 to 0.300 0.468 0.431 to 0.507 0.798 0.763 to 0.833
1965–1969 0.583 0.553 to 0.614 0.164 0.151 to 0.178 0.252 0.228 to 0.278 0.523 0.495 to 0.552
1970–1974 0.497 0.465 to 0.532 0.139 0.125 to 0.154 0.185 0.163 to 0.209 0.451 0.420 to 0.485
1975–1979 0.415 0.377 to 0.456 0.127 0.110 to 0.148 0.142 0.120 to 0.168 0.491 0.446 to 0.540
1980–1984 0.379 0.329 to 0.436 0.101 0.081 to 0.126 0.109 0.086 to 0.139 0.599 0.528 to 0.681
1985–1989 0.357 0.293 to 0.436 0.066 0.046 to 0.094 0.056 0.037 to 0.083 0.542 0.451 to 0.652
1990–1994 0.344 0.242 to 0.490 0.046 0.023 to 0.092 0.032 0.015 to 0.071 0.521 0.377 to 0.721
Figure 4.

Figure 4

Age-Period-Cohort Model analysis of gastric cancer incidence among China, Japan, Republic of Korea, and United States of America

In line with the incidence trend, death rates due to gastric cancer also amplified with age across all countries, most notably in China, where the high prevalence age group remains 85–89 years. This is followed by Japan, while the upward trend in Korea is comparatively moderate. The period effect diminished over time in all nations, most drastically in Korea, followed by Japan, while the downward trend was weakest in China. The cohort effect continued to have a positive impact on gastric cancer mortality rates, displaying the steepest decline in the United States (from 6.088 in 1900 to 0.521 in 1990), followed by Korea (from 3.791 in 1900 to 0.032 in 1990), and China, exhibiting a moderated decline (from 1.657 in 1900 to 0.344 in 1990). However, improvements in the cohort effect among younger generations appear to have slowed, if not stagnated (Refer to Table 4; Figure 5).

Figure 5.

Figure 5

Age-Period-Cohort Model analysis of gastric cancer mortality among China, Japan, Republic of Korea, and United States of America

Discussion

This study was designed to discern long-term trends in the incidence and death rates of gastric cancer in China, explore the potential age, period, and cohort influences on these trends, and draw comparisons with select developing and developed countries. Over the past three decades, new cases and deaths from gastric cancer in China have seen an increase, which may be associated with the rapid aging of the population.24 The elderly, due to the deterioration of bodily functions, frail physical conditions, and the presence of underlying diseases, are susceptible to complications from various diseases, thereby facing a higher risk of death. Moreover, the high incidence of gastric cancer in Korea and Japan is closely associated with their dietary patterns. High salt diets can stimulate the gastric mucosa, resulting in atrophic gastritis, increased DNA synthesis and cell proliferation, thereby raising the risk of gastric cancer.25

Despite this, both the Age-Standardized Incidence Rates (ASIR) and Age-Standardized Death Rates (ASDR) exhibited an overall downward trend in China, Japan, Korea, and the United States. This trend may be linked to several factors: Infection rates of Helicobacter pylori have been decreasing, which can be attributed to improvements in socioeconomic conditions, health literacy, population screening, and vaccine development.25,26,27 The degree of reduction, however, varies across different countries.

The results of the joinpoint analysis further reveal that the changes in ASIR and ASDR in China significantly differ from those in Japan, Korea, and the United States. Both ASIR and ASDR in China experienced a sequence of decreasing, increasing, and again decreasing trends. The incidence of gastric cancer in China increased from 1998 to 2004, but has resumed a downward trend since 2005. This is closely tied to the initiation of early screening programs for gastric cancer in 2005.28 Improvements in living conditions and the widespread use of refrigeration have significantly improved food storage, reducing carcinogens in food. Furthermore, the "Salt Reduction Campaign" and "Healthy Lifestyle for All People" launched in China in 2007, continuous promotion of smoking cessation and alcohol restriction, and improvement of dietary patterns have all been instrumental in the decline of gastric cancer incidence rates.29 In Korea, ASIR initially increased followed by a subsequent decrease, while ASDR has consistently shown a declining trend. Notably, in Korea, the implementation of nationwide gastric cancer screening was initiated in 1999 as an integral component of the National Cancer Screening Program (NCSP). Japan and the United States have shown a rapid downward trend in both ASIR and ASDR. This is mainly due to changes in lifestyle and diet, as well as advancements in early screening and treatment. The screening program was launched in Japan in 1960,30 with the only recommended method being fluorescent photography (after a barium meal). Since February 2013, reimbursement for Helicobacter pylori eradication has been available in Japan. Excluding China, the Annual Average Percent Changes (AAPCs) of the other three countries were all below 0, indicating a downward trend. The AAPCs of Korea and Japan were notably higher than those of China and the United States, demonstrating more effective prevention and control measures.31 In fact, this is closely related to the screening programs implemented by various countries. In Japan, a screening program was first introduced in 1983, which included radiation-based screenings for all adults over the age of 40 and endoscopic examinations for individuals with abnormal results from the radiation tests. In 2016, Japan revised this program to allow endoscopic or radiographic examinations every two years for adults over the age of 50.32 Korea initiated a biennial screening program in 2002 that involved endoscopic or radiographic examinations for adults over the age of 40, with endoscopy being the primary method.33

Age and cohort demographics significantly influence the incidence trend of gastric cancer. The risk of gastric cancer incidence and death escalates with age in both China and Japan, as well as in Korea and the United States, which aligns with the findings of previous studies.34 Moreover, there is a discernible shift in the incidence of gastric cancer toward younger age groups. With the advancement of social and economic levels, an increasing number of young people consume alcohol, smoke, and have irregular and unhealthy eating habits that include fried, hot, and spicy foods.35,36 The decrease in the cohort effect of gastric cancer deaths in China may be associated with the implementation of an effective gastric cancer screening program, prevention and treatment strategies for Helicobacter pylori, and targeted attention toward high-risk individuals.37 The declining cohort effect on death rates is also observed in Japan, Korea, and the United States, linked closely to improvements in economic status,38 medical conditions,39 and hygiene practices.40

The period effect may also influence the trend of gastric cancer. In China, the incidence of gastric cancer increased and then decreased, peaking around 2005, the year China commenced a cancer screening program.9 However, the other three countries have already initiated screening programs. Especially Japan initiated a national cancer screening program as early as 1983,41 22 years prior to China. Furthermore, there was an overall downward trend in the period effect of the risk of death from gastric cancer in all countries, which may be attributed to the prevalence of gastroscopy, increased health awareness among the general public, and focused attention on high-risk groups.42 Apart from national cancer control policies, other time-period effects may contribute to differences in cancer trends among countries. For instance, economic development spurred by China’s reform and opening up had a positive impact on reducing gastric cancer incidence and death rates.9 Changes in Japanese dietary habits toward plant-based foods and fish,43 also had a positive impact on lowering the risk of gastric cancer. However, rapid urbanization and industrialization in China, which led to deteriorating air quality and increased social stress, negatively influenced the risk of gastric cancer.44

Besides, there is a significant gender discrepancy in the incidence and death rates of gastric cancer, with rates for female patients being lower than males. This discrepancy may be related to the protective effect of estrogen on gastric cancer.45 Differences in behaviors such as smoking and alcohol consumption may also contribute to the differential incidence of gastric cancer between men and women. Among the male population, the rates of alcohol consumption and smoking are significantly higher than those of females.46 Additionally, the trend of gastric cancer incidence is skewing toward younger ages. Therefore, young males should undergo regular health check-ups and screenings. In addition, it is necessary to widely promote a scientifically balanced diet structure and advocate for a healthy lifestyle.

Despite the decreasing trend in the incidence and death rates of gastric cancer in China, the absolute number remains high compared to other countries.47 This high rate correlates closely with China’s large population base. Consequently, the burden of gastric cancer in China remains substantial, necessitating the implementation of health education, the optimization of screening techniques and processes, targeted control of high-risk patients and factors, and the acceleration of scientific research on treatment. Yet, China’s cancer control program is still in its nascent stages and is far from being as comprehensive and standardized as in other countries.9

In fact, various measures can be taken, including raising public health awareness and education, strengthening basic healthcare infrastructure, promoting disease prevention measures, enhancing medical and healthcare services, as well as implementing health promotion policies. Additionally, these measures should be tailored to the specific circumstances of different countries and regions. For countries with higher incidence rates, greater efforts should be made in health education, promoting healthy diets, and improving lifestyle habits.

Limitations of the study

This study does have some limitations. Firstly, the diagnostic criteria for gastric cancer is continuously being updated, introducing potential bias in the data on newly diagnosed cases across different years. Secondly, the accuracy of Global Burden of Disease (GBD) data is affected by each country’s cancer registration and reporting system. For example, China’s system only covers one-third of the population, and the cancer registry data are not detailed enough to determine whether cases originate from screening, whereas Japan’s system covers about 70% of cancer cases.48 Data quality issues such as inconsistent definitions, reporting errors, and methodological variations may also impact research accuracy and comparability. Finally, establishing causality in the age-period-cohort model is challenging, and only relevant assumptions can be made.

STAR★Methods

Key resources table

REAGENT or RESOURCE SOURCE IDENTIFIER
Software and algorithms

R software 4.0.5 R Foundation, USA https://www.r-project.org/
Microsoft Excel 2016 Microsoft Office https://www.microsoft.com/zh-cn/
Joinpoint Regression software 4.8.0.1 NIH https://surveillance.cancer.gov/joinpoint/
National Cancer Institute's online tool https://analysistools.cancer.gov/apc/

Resource availability

Lead contact

Further information and requests for resources should be directed to and will be fulfilled by the lead contact, Xiangpan Li (E-mail: rm001227@whu.edu.cn).

Materials availability

This study did not generate new unique reagents.

Data and code availability

Data reported in this paper will be shared by the lead contact upon request.

This paper does not report original code.

Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

Experimental model and study participant details

All data used in this study were obtained from the the Global Burden of Disease (GBD) database.

Method details

Data sources

The Global Burden of Disease (GBD) database49 provides statistics on incidence, deaths, and corresponding age-standardized rates (ASR) for 369 diseases across 204 countries or territories. The gastric cancer data necessary for this study were acquired from GBD 2019 via the online tool GHDx (https://ghdx.healthdata.org/).

We included patients diagnosed with gastric cancer from China, South Korea, the United States, and Japan within the period of 1990 to 2019. Here were the steps for filtering. GBD Estimate: cause of death or injury; Measure: Incidence and deaths; Cause: all causes; Location: China, Japan, United States of America, and Republic of Korea; Age: All ages, age-standardized, <20, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-55, 56-59, 60-64, 65-69,70-74,75-79,80-84,85-89,90-94,>95;Sex: Both, Male and Female; Year: 1990-2019.

Variables

The variables included in the study were age, sex, country, calendar year, incidence (number, ASR), and deaths (number, ASR).

Quantification and statistical analysis

Descriptive analysis

Data on overall, age-, and sex-specific new gastric cancer cases, deaths, and ASRs (95% uncertainty intervals (95% UI)) were extracted from the GBD 2019 database for the period 1990-2019 for China, Japan, Korea, and the United States. Rates were reported per 100,000 population. The natural logarithm of ASR was observed to linearly correlate with time. The Estimated Annual Percentage Change (EAPC) was used to describe the ASR trend over the specified time interval.49 An increase in ASR was inferred if both the EAPC value and the lower limit of its 95% CI were positive. Conversely, if both the EAPC value and the upper limit of its 95% CI were negative, the ASR was deemed to be decreasing. Any other conditions led to the ASR being considered stable. Data visualization and statistics were performed using R software (version 4.0.5) and Microsoft Excel (version 2016).

The database from GBD 2019 employs internationally standardized population data to calculate age-standardized incidence and mortality rates. The calculation formula is as follows:

ASR=i=1Aaiwii=1Awi×100,000

The variable "i " represents the specific age group, while "aiwi" denotes the ratio of that particular age group. The symbol "wi" signifies the number of cases or weight assigned to each observation, and finally, "A" stands for the total number of age groups.

Trend analysis

The Joinpoint regression model,50 which divides a long-term trend line into segments—each segment being described by a continuous line—was tested using the Z-test. To characterize trends in cancer incidence over time, we employed the best-fit log-linear regression model to calculate the annual percentage change (APC) and the corresponding 95% CI for each line segment, and to identify the joinpoints at which the APC significantly changed (p < 0.05). Joinpoint regression analyses were performed using NCI Joinpoint Regression software (version 4.8.0.1; Information Management Services Inc.), where the number of joinpoints and associated p-values were computed by the permutation test. The best model was selected based on the Bayesian Information Criterion (BIC). An increasing trend in the interval or overall was indicated when APC>0 and the average annual percentage change (AAPC)>0, while APC<0 and AAPC<0 indicated a decreasing trend in the interval or overall incidence.

Age-period-cohort model

This model accounts for the effects of age, period, and cohort as factors, and has been used to analyze statistical data on disease incidence or deaths. In the initial step, we categorized the data into 15 age groups (25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59, 60-64, 65-69, 70-74, 75-79, 80-84, 85-89, 90-94, and 95+ years). Following this, we divided them into 6 cohorts throughout the entire observation period (1990-1994, 1995-1999, 2000-2004, 2005-2009, 2010-2014, and 2015-2019). The Age-Period-Cohort model was computed using the Wald's chi-square test for functions and estimable parameters through the National Cancer Institute's online tool (https://analysistools.cancer.gov/apc/).51 All statistical tests were two-sided, and P<0.05 was considered statistically significant.

Acknowledgments

We extend our heartfelt thanks to our study team members for their excellent cooperation, as well as to the Global Burden of Disease Study for their valuable contributions. This investigation was financially supported by the Cisco hausen Cancer Research Foundation under grant number Y-HS202101-0079; the Interdisciplinary Innovative Talents Foundation from Renmin Hospital of Wuhan University under grant number JCRCWL-2022-003; the Research Foundation on Cutting-edge Cancer Supportive Care under grant number cphcf-2022-146; the Key Research and Development Project of Hubei Province's Technical Innovation Plan under grant number 2023BCB020.

Author contributions

Conceptualization: Yanfang Lan.

Methodology: Dashuai Yang.

Formal analysis and writing – original draft: Fangrui Zhao.

Writing – review and editing: Xiangpan Li.

Declaration of interests

The authors declare no competing interests.

Published: May 22, 2024

Footnotes

Supplemental information can be found online at https://doi.org/10.1016/j.isci.2024.110074.

Supplemental information

Document S1. Figures S1 and S2 and Tables S1 and S2
mmc1.pdf (862.9KB, pdf)

References

  • 1.Van Cutsem E., Sagaert X., Topal B., Haustermans K., Prenen H. Gastric cancer. Lancet. 2016;388:2654–2664. doi: 10.1016/S0140-6736(16)30354-3. [DOI] [PubMed] [Google Scholar]
  • 2.Herrera V., Parsonnet J. Helicobacter pylori and gastric adenocarcinoma. Clin. Microbiol. Infect. 2009;15:971–976. doi: 10.1111/j.1469-0691.2009.03031.x. [DOI] [PubMed] [Google Scholar]
  • 3.de Martel C., Forman D., Plummer M. Gastric cancer: epidemiology and risk factors. Gastroenterol. Clin. N. Am. 2013;42:219–240. doi: 10.1016/j.gtc.2013.01.003. [DOI] [PubMed] [Google Scholar]
  • 4.Blaser M.J., Falkow S. What are the consequences of the disappearing human microbiota? Nat. Rev. Microbiol. 2009;7:887–894. doi: 10.1038/nrmicro2245. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wiseman M. The second World Cancer Research Fund/American Institute for Cancer Research expert report. Food, nutrition, physical activity, and the prevention of cancer: a global perspective. Proc. Nutr. Soc. 2008;67:253–256. doi: 10.1017/S002966510800712X. [DOI] [PubMed] [Google Scholar]
  • 6.Thrift A.P., El-Serag H.B. Burden of Gastric Cancer. Clin. Gastroenterol. Hepatol. 2020;18:534–542. doi: 10.1016/j.cgh.2019.07.045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.GBD 2017 Stomach Cancer Collaborators The global, regional, and national burden of stomach cancer in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease study 2017. Lancet Gastroenterol. Hepatol. 2020;5:42–54. doi: 10.1016/S2468-1253(19)30328-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Luo G., Zhang Y., Guo P., Wang L., Huang Y., Li K. Global patterns and trends in stomach cancer incidence: Age, period and birth cohort analysis. Int. J. Cancer. 2017;141:1333–1344. doi: 10.1002/ijc.30835. [DOI] [PubMed] [Google Scholar]
  • 9.Li Y., Ren N., Zhang B., Yang C., Li A., Li X., Lei Z., Fei L., Fan S., Zhang J. Gastric cancer incidence trends in China and Japan from 1990 to 2019: Disentangling age-period-cohort patterns. Cancer. 2023;129:98–106. doi: 10.1002/cncr.34511. [DOI] [PubMed] [Google Scholar]
  • 10.Li J. Gastric Cancer in Young Adults: A Different Clinical Entity from Carcinogenesis to Prognosis. Gastroenterol. Res. Pract. 2020;2020 doi: 10.1155/2020/9512707. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Chung H.W., Noh S.H., Lim J.B. Analysis of demographic characteristics in 3242 young age gastric cancer patients in Korea. World J. Gastroenterol. 2010;16:256–263. doi: 10.3748/wjg.v16.i2.256. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Anderson W.F., Rabkin C.S., Turner N., Fraumeni J.F., Jr., Rosenberg P.S., Camargo M.C. The Changing Face of Noncardia Gastric Cancer Incidence Among US Non-Hispanic Whites. J. Natl. Cancer Inst. 2018;110:608–615. doi: 10.1093/jnci/djx262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Anderson W.F., Camargo M.C., Fraumeni J.F., Jr., Correa P., Rosenberg P.S., Rabkin C.S. Age-specific trends in incidence of noncardia gastric cancer in US adults. JAMA. 2010;303:1723–1728. doi: 10.1001/jama.2010.496. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Mun D.G., Bhin J., Kim S., Kim H., Jung J.H., Jung Y., Jang Y.E., Park J.M., Kim H., Jung Y., et al. Proteogenomic Characterization of Human Early-Onset Gastric Cancer. Cancer Cell. 2019;35:111–124.e10. doi: 10.1016/j.ccell.2018.12.003. [DOI] [PubMed] [Google Scholar]
  • 15.Zou J., Qin W., Yang L., Wang L., Wang Y., Shen J., Xiong W., Yu S., Song S., Ajani J.A., et al. Genetic alterations and expression characteristics of ARID1A impact tumor immune contexture and survival in early-onset gastric cancer. Am. J. Cancer Res. 2020;10:3947–3972. [PMC free article] [PubMed] [Google Scholar]
  • 16.Bautista M.C., Jiang S.F., Armstrong M.A., Postlethwaite D., Li D. Impact of age on clinicopathological features and survival of patients with noncardia gastric adenocarcinoma. J. Gastric Cancer. 2014;14:238–245. doi: 10.5230/jgc.2014.14.4.238. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Siegel R.L., Miller K.D., Jemal A. Cancer statistics, 2019. CA A Cancer J. Clin. 2019;69:7–34. doi: 10.3322/caac.21551. [DOI] [PubMed] [Google Scholar]
  • 18.Matsuda T., Ajiki W., Marugame T., Ioka A., Tsukuma H., Sobue T., Research Group of Population-Based Cancer Registries of Japan Population-based survival of cancer patients diagnosed between 1993 and 1999 in Japan: a chronological and international comparative study. Jpn. J. Clin. Oncol. 2011;41:40–51. doi: 10.1093/jjco/hyq167. [DOI] [PubMed] [Google Scholar]
  • 19.Hong S., Won Y.J., Park Y.R., Jung K.W., Kong H.J., Lee E.S., Community of Population-Based Regional Cancer Registries Cancer Statistics in Korea: Incidence, Mortality, Survival, and Prevalence in 2017. Cancer Res. Treat. 2020;52:335–350. doi: 10.4143/crt.2020.206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Isobe Y., Nashimoto A., Akazawa K., Oda I., Hayashi K., Miyashiro I., Katai H., Tsujitani S., Kodera Y., Seto Y., Kaminishi M. Gastric cancer treatment in Japan: 2008 annual report of the JGCA nationwide registry. Gastric Cancer. 2011;14:301–316. doi: 10.1007/s10120-011-0085-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Bray F., Ferlay J., Laversanne M., Brewster D.H., Gombe Mbalawa C., Kohler B., Piñeros M., Steliarova-Foucher E., Swaminathan R., Antoni S., et al. Cancer Incidence in Five Continents: Inclusion criteria, highlights from Volume X and the global status of cancer registration. Int. J. Cancer. 2015;137:2060–2071. doi: 10.1002/ijc.29670. [DOI] [PubMed] [Google Scholar]
  • 22.Xie W., Yang T., Zuo J., Ma Z., Yu W., Hu Z., Song Z. Chinese and Global Burdens of Gastrointestinal Cancers From 1990 to 2019. Front. Public Health. 2022;10 doi: 10.3389/fpubh.2022.941284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Li N., Wu P., Shen Y., Yang C., Zhang L., Chen Y., Wang Z., Jiang J. Predictions of mortality related to four major cancers in China, 2020 to 2030. Cancer Commun. 2021;41:404–413. doi: 10.1002/cac2.12143. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhou J., Zheng R., Zhang S., Chen R., Wang S., Sun K., Li M., Lei S., Zhuang G., Wei W. Gastric and esophageal cancer in China 2000 to 2030: Recent trends and short-term predictions of the future burden. Cancer Med. 2022;11:1902–1912. doi: 10.1002/cam4.4586. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Katoh H., Ishikawa S. Lifestyles, genetics, and future perspectives on gastric cancer in east Asian populations. J. Hum. Genet. 2021;66:887–899. doi: 10.1038/s10038-021-00960-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Zeng M., Mao X.H., Li J.X., Tong W.D., Wang B., Zhang Y.J., Guo G., Zhao Z.J., Li L., Wu D.L., et al. Efficacy, safety, and immunogenicity of an oral recombinant Helicobacter pylori vaccine in children in China: a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet. 2015;386:1457–1464. doi: 10.1016/S0140-6736(15)60310-5. [DOI] [PubMed] [Google Scholar]
  • 27.Li M., Sun Y., Yang J., de Martel C., Charvat H., Clifford G.M., Vaccarella S., Wang L. Time trends and other sources of variation in Helicobacter pylori infection in mainland China: A systematic review and meta-analysis. Helicobacter. 2020;25 doi: 10.1111/hel.12729. [DOI] [PubMed] [Google Scholar]
  • 28.Zeng H., Sun K., Cao M., Zheng R., Sun X., Liu S., Zhang Z., Liu Y., Guo G., Song G., et al. Initial results from a multi-center population-based cluster randomized trial of esophageal and gastric cancer screening in China. BMC Gastroenterol. 2020;20:398. doi: 10.1186/s12876-020-01517-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Fang K., Fang Y., Lian Y. Study on morbidity and mortality burden of gastric cancer attributed to excessive sodium intake in Chinese adult resident. Chin. J. Dis. Control Prev. 2022;26:1–6. [Google Scholar]
  • 30.Hamashima C., Shibuya D., Yamazaki H., Inoue K., Fukao A., Saito H., Sobue T. The Japanese guidelines for gastric cancer screening. Jpn. J. Clin. Oncol. 2008;38:259–267. doi: 10.1093/jjco/hyn017. [DOI] [PubMed] [Google Scholar]
  • 31.Katanoda K., Hori M., Matsuda T., Shibata A., Nishino Y., Hattori M., Soda M., Ioka A., Sobue T., Nishimoto H. An updated report on the trends in cancer incidence and mortality in Japan, 1958-2013. Jpn. J. Clin. Oncol. 2015;45:390–401. doi: 10.1093/jjco/hyv002. [DOI] [PubMed] [Google Scholar]
  • 32.Hamashima C., Systematic Review Group and Guideline Development Group for Gastric Cancer Screening Guidelines Update version of the Japanese Guidelines for Gastric Cancer Screening. Jpn. J. Clin. Oncol. 2018;48:673–683. doi: 10.1093/jjco/hyy077. [DOI] [PubMed] [Google Scholar]
  • 33.Kim Y., Jun J.K., Choi K.S., Lee H.Y., Park E.C. Overview of the National Cancer screening programme and the cancer screening status in Korea. Asian Pac. J. Cancer Prev. APJCP. 2011;12:725–730. [PubMed] [Google Scholar]
  • 34.Sun D., Cao M., Li H., He S., Chen W. Cancer burden and trends in China: A review and comparison with Japan and South Korea. Chin. J. Cancer Res. 2020;32:129–139. doi: 10.21147/j.issn.1000-9604.2020.02.01. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Deng W., Jin L., Zhuo H., Vasiliou V., Zhang Y. Alcohol consumption and risk of stomach cancer: A meta-analysis. Chem. Biol. Interact. 2021;336 doi: 10.1016/j.cbi.2021.109365. [DOI] [PubMed] [Google Scholar]
  • 36.Cheng S., Zhang F., Li B. Risk factors for gastric cancer in Chinese population: a meta-analysis. Chin. J. Public Health. 2017;33:1775–1780. [Google Scholar]
  • 37.He Y., Wang Y., Luan F., Yu Z., Feng H., Chen B., Chen W. Chinese and global burdens of gastric cancer from 1990 to 2019. Cancer Med. 2021;10:3461–3473. doi: 10.1002/cam4.3892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Massarrat S., Stolte M. Development of gastric cancer and its prevention. Arch. Iran. Med. 2014;17:514–520. [PubMed] [Google Scholar]
  • 39.Yusefi A.R., Bagheri Lankarani K., Bastani P., Radinmanesh M., Kavosi Z. Risk Factors for Gastric Cancer: A Systematic Review. Asian Pac. J. Cancer Prev. APJCP. 2018;19:591–603. doi: 10.22034/APJCP.2018.19.3.591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Behnampour N., Hajizadeh E., Zayeri F., Semnani S. Modeling of influential predictors of gastric cancer incidence rates in Golestan province, North Iran. Asian Pac. J. Cancer Prev. APJCP. 2014;15:1111–1117. doi: 10.7314/apjcp.2014.15.3.1111. [DOI] [PubMed] [Google Scholar]
  • 41.Kimura T., Egawa S. Epidemiology of prostate cancer in Asian countries. Int. J. Urol. 2018;25:524–531. doi: 10.1111/iju.13593. [DOI] [PubMed] [Google Scholar]
  • 42.Zhang X., Li M., Chen S., Hu J., Guo Q., Liu R., Zheng H., Jin Z., Yuan Y., Xi Y., Hua B. Endoscopic Screening in Asian Countries Is Associated With Reduced Gastric Cancer Mortality: A Meta-analysis and Systematic Review. Gastroenterology. 2018;155:347–354.e9. doi: 10.1053/j.gastro.2018.04.026. [DOI] [PubMed] [Google Scholar]
  • 43.Tsugane S. Why has Japan become the world's most long-lived country: insights from a food and nutrition perspective. Eur. J. Clin. Nutr. 2021;75:921–928. doi: 10.1038/s41430-020-0677-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Wei H., Zhang Y. Analysis of impact of urbanization on environmental quality in China. China World Econ. 2017;25:85–106. doi: 10.1111/cwe.12195. [DOI] [Google Scholar]
  • 45.Gan L., He J., Zhang X., Zhang Y.J., Yu G.Z., Chen Y., Pan J., Wang J.J., Wang X. Expression profile and prognostic role of sex hormone receptors in gastric cancer. BMC Cancer. 2012;12:566. doi: 10.1186/1471-2407-12-566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.The State Council Information Office The People’s Republic China The State Council Information Office held a press conference on the “Report on the Status of Nutrition and Chronic Diseases of Chinese Residents. 2020. http://www.gov.cn/xinwen/2020-12/24/content_5572983.htm
  • 47.Nie Y., Wu K., Yu J., Liang Q., Cai X., Shang Y., Zhou J., Pan K., Sun L., Fang J., et al. A global burden of gastric cancer: the major impact of China. Expet Rev. Gastroenterol. Hepatol. 2017;11:651–661. doi: 10.1080/17474124.2017.1312342. [DOI] [PubMed] [Google Scholar]
  • 48.Matsuda T., Sobue T. Recent trends in population-based cancer registries in Japan: the Act on Promotion of Cancer Registries and drastic changes in the historical registry. Int. J. Clin. Oncol. 2015;20:11–20. doi: 10.1007/s10147-014-0765-4. [DOI] [PubMed] [Google Scholar]
  • 49.GBD 2019 Diseases and Injuries Collaborators Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1204–1222. doi: 10.1016/S0140-6736(20)30925-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Kim H.J., Fay M.P., Feuer E.J., Midthune D.N. Permutation tests for joinpoint regression with applications to cancer rates. Stat. Med. 2000;19:335–351. doi: 10.1002/(sici)1097-0258(20000215)19:3<335::aid-sim336>3.0.co;2-z. [DOI] [PubMed] [Google Scholar]
  • 51.Rosenberg P.S., Check D.P., Anderson W.F. A web tool for age-period-cohort analysis of cancer incidence and mortality rates. Cancer Epidemiol. Biomarkers Prev. 2014;23:2296–2302. doi: 10.1158/1055-9965.EPI-14-0300. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Document S1. Figures S1 and S2 and Tables S1 and S2
mmc1.pdf (862.9KB, pdf)

Data Availability Statement

Data reported in this paper will be shared by the lead contact upon request.

This paper does not report original code.

Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.


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